Zobrazeno 1 - 10
of 6 861
pro vyhledávání: '"ZHOU, Cheng"'
Autor:
Shi, Lei, Yu, Xinghua, Zhou, Cheng, Jin, Wanxin, Chi, Wanchao, Zhang, Shenghao, Zhang, Dongsheng, Li, Xiong, Zhang, Zhengyou
This article propose a whole-body impedance coordinative control framework for a wheel-legged humanoid robot to achieve adaptability on complex terrains while maintaining robot upper body stability. The framework contains a bi-level control strategy.
Externí odkaz:
http://arxiv.org/abs/2411.09935
Autor:
Gao, Wentao, Zhou, Cheng
Accurate prediction of human behavior is crucial for effective human-robot interaction (HRI) systems, especially in dynamic environments where real-time decisions are essential. This paper addresses the challenge of forecasting future human behavior
Externí odkaz:
http://arxiv.org/abs/2410.20423
Autor:
Hao, Yun-Chao, Krüger, Matthias, Antezza, Mauro, Zhou, Cheng-Long, Yi, Hong-Liang, Zhang, Yong
We explore near-field thermal radiation transport in nanoparticles embedded within a multilayer slab structure, focusing on dynamic modulation of heat flux via cavity interactions. Our findings reveal that by tuning the distance between reflectors an
Externí odkaz:
http://arxiv.org/abs/2409.12698
This article explores human-like movement from a fresh perspective on motion planning. We analyze the coordinated and compliant movement mechanisms of the human body from the perspective of biomechanics. Based on these mechanisms, we propose an optim
Externí odkaz:
http://arxiv.org/abs/2409.10747
This paper proposes a fair control framework for multi-robot systems, which integrates the newly introduced Alternative Authority Control (AAC) and Flexible Control Barrier Function (F-CBF). Control authority refers to a single robot which can plan i
Externí odkaz:
http://arxiv.org/abs/2409.10749
Autor:
Zhou, Cheng-Long, Torbatian, Zahra, Yang, Shui-Hua, Zhang, Yong, Yi, Hong-Liang, Antezza, Mauro, Novko, Dino, Qiu, Cheng-Wei
Publikováno v:
Phys. Rev. Lett. 133, 066902 (2024)
Charge-order states of broken symmetry, such as charge density wave (CDW), are able to induce exceptional physical properties, however, the precise understanding of the underlying physics is still elusive. Here, we combine fluctuational electrodynami
Externí odkaz:
http://arxiv.org/abs/2408.03698
Autor:
Zhou, Cheng-Long, Peng, Yu-Chen, Zhang, Yong, Yi, Hong-Liang, Antezza, Mauro, Galdi, Vincenzo
We explore a novel approach to achieving anisotropic thermal photon tunneling, inspired by the concept of parity-time symmetry in quantum physics. Our method leverages the modulation of constitutive optical parameters, oscillating between loss and ga
Externí odkaz:
http://arxiv.org/abs/2405.16109
Ghost imaging is a non local imaging technology, which can obtain target information by measuring the second-order intensity correlation between the reference light field and the target detection light field. However, the current imaging environment
Externí odkaz:
http://arxiv.org/abs/2403.03426
Autor:
Zhang, Chong, Sheng, Jiapeng, Li, Tingguang, Zhang, He, Zhou, Cheng, Zhu, Qingxu, Zhao, Rui, Zhang, Yizheng, Han, Lei
Learning highly dynamic behaviors for robots has been a longstanding challenge. Traditional approaches have demonstrated robust locomotion, but the exhibited behaviors lack diversity and agility. They employ approximate models, which lead to compromi
Externí odkaz:
http://arxiv.org/abs/2402.13473
Autor:
Han, Lei, Zhu, Qingxu, Sheng, Jiapeng, Zhang, Chong, Li, Tingguang, Zhang, Yizheng, Zhang, He, Liu, Yuzhen, Zhou, Cheng, Zhao, Rui, Li, Jie, Zhang, Yufeng, Wang, Rui, Chi, Wanchao, Li, Xiong, Zhu, Yonghui, Xiang, Lingzhu, Teng, Xiao, Zhang, Zhengyou
Publikováno v:
Nature Machine Intelligence, Vol. 7, 2024
Knowledge from animals and humans inspires robotic innovations. Numerous efforts have been made to achieve agile locomotion in quadrupedal robots through classical controllers or reinforcement learning approaches. These methods usually rely on physic
Externí odkaz:
http://arxiv.org/abs/2308.15143